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The climate crisis is one of the fundamental issues that humanity will face in the coming years and decades, and engineering solutions to address it are urgently needed. This projects targets a more efficient management of buildings, in particular their HVAC systems, to increase their energy efficiency and mitigate their carbon footprint. The project will explore the use of state-of-the-art online optimization techniques for high frequency control of buildings, with the aim of providing a more granular, high frequency management approach that improves energy efficiency.

Objective: The roadmap of the project is as follows: 1) guided literature review, 2) application of online optimization techniques to management of HVAC systems, 3) numerical evaluation and comparison with the state of the art. The project has the potential to lead to conference and journal publications in top venues.

We are looking for 1 student to join this project. Requirements are: some background on control theory and machine learning, optionally on optimization and Python coding.

The start date is flexible, and the project will take around 20 weeks.

The project will be conducted in the Division of Decision and Control Systems, with flexible remote work, under the supervision of Asst. Prof. Angela Fontan and Dr. Nicola Bastianello.

Contact: Nicola Bastianello, nicolba@kth.se

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